LabVIEW Masterclass: DAQ, Arduino, IoT & CLAD

Learn LabVIEW Q3 2025 from a CLA, CLD, CLAD & CTD-certified expert with real-world experience and professional guidance.

Unlock the power of LabVIEW and build practical engineering applications with confidence.

LabVIEW, short for Laboratory Virtual Instrument Engineering Workbench, is a powerful graphical programming environment developed by National Instruments (NI). Unlike traditional text-based programming languages, LabVIEW uses a graphical dataflow approach, where you create programs by connecting functional blocks visually. This makes it highly intuitive, efficient, and well-suited for engineers, students, researchers, and professionals working in automation, control, instrumentation, data acquisition, and industrial applications.

Originally developed for instrument control and laboratory measurements, LabVIEW has evolved into a versatile platform used in test automation, industrial monitoring, machine control, embedded systems, simulation, condition monitoring, and real-time data processing. It is widely recognised as one of the most important tools for building engineering applications quickly and effectively.

This course is designed to help you learn LabVIEW in a clear, practical, and industry-oriented manner. You will begin with the fundamentals of LabVIEW, including the Front Panel, Block Diagram, controls, indicators, loops, arrays, clusters, structures, and graphical programming logic. Once your fundamentals are strong, you will move into more advanced concepts and practical applications that connect software development with real engineering systems.

The course also introduces IoT concepts in LabVIEW, helping you understand how LabVIEW can be used in connected and intelligent systems. You will explore advanced engineering toolkits such as the PID Toolbox, Fuzzy Logic Toolbox, and Control & Simulation Toolbox, which are valuable for automation, control system design, and intelligent engineering applications.

A major highlight of this course is LabVIEW and Arduino interfacing with different sensors, where you will learn how to connect LabVIEW with hardware for data acquisition, monitoring, and control. This practical approach helps bridge the gap between software and real-world engineering implementation.

In addition, the course includes support for CLAD exam preparation, making it beneficial for learners who want to strengthen their concepts while also preparing for certification-oriented learning.

By the end of this course, you will have a strong understanding of LabVIEW and its practical use in automation, sensor interfacing, industrial monitoring, testing, simulation, control systems, and engineering project development.

This course is ideal for learners who want to develop real, useful, and application-focused LabVIEW skills for academics, research, projects, and industry.

What You’ll Learn

• Understand the fundamentals of LabVIEW and graphical dataflow programming

• Work with Front Panel, Block Diagram, controls, indicators, and basic programming structures

• Use loops, arrays, clusters, case structures, and other important LabVIEW components

• Build practical LabVIEW programs for engineering and automation applications

• Learn IoT concepts and their implementation in LabVIEW

• Use the PID Toolbox for control system applications

• Use Fuzzy Logic Toolbox for intelligent control applications

• Explore Control & Simulation Toolbox for dynamic system modelling

• Interface LabVIEW with Arduino and different sensors

• Perform data acquisition, monitoring, logging, and analysis

• Understand real industrial and automation use cases of LabVIEW

• Prepare for CLAD certification with concept-based learning and examples

Requirements

• No prior LabVIEW experience is required

• A Windows computer is recommended for LabVIEW installation and practice

• Interest in automation, control systems, IoT, or instrumentation is beneficial

Who This Course Is For

• Electrical engineering students

• Electronics and communication engineering students

• Instrumentation and control engineering students

• Mechatronics and mechanical engineering students

• IoT and embedded systems learners

• Researchers and project developers

• Beginners who want to learn LabVIEW from scratch

• Professionals interested in automation, testing, monitoring, and control

• Learners preparing for the CLAD exam

• Anyone who wants to build practical engineering applications using LabVIEW